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sis 23(4): e5

Research Article

Trends in scientific output on artificial intelligence and health in Latin America in Scopus

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  • @ARTICLE{10.4108/eetsis.vi.3231,
        author={Patricia Alonso-Galb\^{a}n and Adri\^{a}n Alejandro Vit\^{o}n-Castillo and Carlos Oscar Lepez and William Castillo-Gonzalez and Mabel Cecilia Bonardi},
        title={Trends in scientific output on artificial intelligence and health in Latin America in Scopus},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={4},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={9},
        keywords={Artificial Intelligence, Health Sciences, Medicine, bibliometrics, scientific output, Latin America},
        doi={10.4108/eetsis.vi.3231}
    }
    
  • Patricia Alonso-Galbán
    Adrián Alejandro Vitón-Castillo
    Carlos Oscar Lepez
    William Castillo-Gonzalez
    Mabel Cecilia Bonardi
    Year: 2023
    Trends in scientific output on artificial intelligence and health in Latin America in Scopus
    SIS
    EAI
    DOI: 10.4108/eetsis.vi.3231
Patricia Alonso-Galbán1,*, Adrián Alejandro Vitón-Castillo2,*, Carlos Oscar Lepez3,*, William Castillo-Gonzalez3,*, Mabel Cecilia Bonardi4,*
  • 1: Centro Nacional de Información de Ciencias Médicas
  • 2: Universidad de Ciencias Médicas de Pinar del Río
  • 3: University of Buenos Aires
  • 4: Universidad de Ciencias Empresariales y Sociales
*Contact email: palonsogalban15121979@gmail.com, adrianviton964@gmail.com, clepez@fmed.uba.ar, williamcg1992@gmail.com, bonardi@saludcyt.ar

Abstract

Introduction: technological developments in artificial intelligence and health are necessary for Latin American health systems. Objective: to describe the trends in scientific production on artificial intelligence and health in Latin America in Scopus. Method: This is a retrospective bibliometric study of Latin American authors' scientific production on artificial intelligence and health in Scopus between 2012 and 2021. Production, visibility and impact indicators were used. VOSviewer and SciVal were used for data analysis. Results: 2871 articles were published, with a variation between 2012 and 2021 of 94.98%. 2,397 articles were original, and 2,741 were written in English. 58.3% were published in first-quartile journals, the most productive being Sensors (Ndoc=79) and Plos One (Ndoc=66). 64,128 citations were received (mean of 22.3 citations per article). Brazil was the most productive country (Ndoc=1420), and the institution was the University of São Paulo (Ndoc=288). 498 thematic groups were identified, and 1376 themes. 54% of the articles had international collaboration and 3.3% with academic-corporation collaboration. Conclusions: there is a growing scientific production on artificial intelligence and health in Latin America, written mainly in English, medical, engineering and computer science research areas, disseminated in specialized magazines in the first quartiles. Brazil and its institutions were the top producers. The main topics were predictive models and the application of artificial intelligence for classifying, diagnosing and treating diseases.

Keywords
Artificial Intelligence, Health Sciences, Medicine, bibliometrics, scientific output, Latin America
Received
2023-09-06
Accepted
2023-09-06
Published
2023-09-06
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.vi.3231

Copyright © 2023 Gonzalez-Argote et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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